{"title":"A Two-Stage Sparsity-Based Method for Location and Doppler Estimation in Bistatic Automotive Radar","authors":"A. Moussa, Wei Liu","doi":"10.1109/SSP53291.2023.10207941","DOIUrl":null,"url":null,"abstract":"Recently, sparse representation of radar signals has attracted a lot of interest when source signals carry a sparse structure, typically used for direction-of-arrival (DOA) estimation. It offers the ability of manipulating the signal model to fit the application’s needs and it may have super-resolution capability. However, signals carrying range and Doppler information can also have a sparse representation, which is an area of research that is often overlooked. In this paper, we propose a method for two-dimensional (2D)-localisation and Doppler estimation in a bistatic automotive application, by adopting the concept of group-sparsity (GS). We show through computer simulations the success of the proposed method in outperforming the state-of-art.","PeriodicalId":296346,"journal":{"name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Statistical Signal Processing Workshop (SSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSP53291.2023.10207941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, sparse representation of radar signals has attracted a lot of interest when source signals carry a sparse structure, typically used for direction-of-arrival (DOA) estimation. It offers the ability of manipulating the signal model to fit the application’s needs and it may have super-resolution capability. However, signals carrying range and Doppler information can also have a sparse representation, which is an area of research that is often overlooked. In this paper, we propose a method for two-dimensional (2D)-localisation and Doppler estimation in a bistatic automotive application, by adopting the concept of group-sparsity (GS). We show through computer simulations the success of the proposed method in outperforming the state-of-art.